Jie Dong
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus
Papers in
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- RNA and protein synthesis mechanisms 4
- Ubiquitin and proteasome pathways 2
-
- Antimicrobial Resistance in Staphylococcus 10
- Co-authors
- Yaping Gao (14 shared papers)Ningsheng Shao (15 shared papers)Guang Yang (8 shared papers)Chunhua Mu (6 shared papers)Aixue Huang (7 shared papers)Zengxian Sun (2 shared papers)Yu Liu (2 shared papers)Bing‐Xin Xiao (2 shared papers)
- Journals
- PLoS ONE (5 papers)Biochemical and Biophysical Research Communications (2 papers)International Journal of Biological Sciences (2 papers)Oncogene (2 papers)Journal of Leukocyte Biology (2 papers)
- Partner nations
- ChinaAustraliaUnited Kingdom
In The Last Decade
Jie Dong
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Cancer Research 267
- Infectious Diseases 188
- Molecular Biology 725
- Immunology 149
- Microbiology 33
Countries citing papers authored by Jie Dong
This map shows the geographic impact of Jie Dong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jie Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Dong more than expected).
Fields of papers citing papers by Jie Dong
This network shows the impact of papers produced by Jie Dong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jie Dong. The network helps show where Jie Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jie Dong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2017 | 90 | |
| 3 | 2015 | 85 | |
| 4 | 2010 | 82 | |
| 5 | 2013 | 80 | |
| 6 | 2012 | 75 | |
| 7 | 2007 | 73 | |
| 8 | 2017 | 56 | |
| 9 | 2011 | 40 | |
| 10 | 2020 | 36 | |
| 11 | 2020 | 33 | |
| 12 | 2010 | 26 | |
| 13 | 2005 | 24 | |
| 14 | 2012 | 23 | |
| 15 | 2014 | 19 | |
| 16 | 2022 | 18 | |
| 17 | 2022 | 16 | |
| 18 | 2011 | 16 | |
| 19 | Toll-like receptor 2 promotes T helper 17 cells response in hepatitis B virus infection. | 2015 | 16 |
| 20 | 2003 | 15 |
About Jie Dong
Jie Dong is a scholar working on Molecular Biology, Infectious Diseases, Epidemiology, Immunology and Oncology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Genetics and Biotechnology (4 papers), RNA and protein synthesis mechanisms (4 papers), Pneumonia and Respiratory Infections (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers), MicroRNA in disease regulation (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cancer Research (267 citations), Infectious Diseases (188 citations), Molecular Biology (725 citations), Immunology (149 citations) and Microbiology (33 citations). Jie Dong has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Yaping Gao, Ningsheng Shao, Guang Yang, Chunhua Mu, Aixue Huang, Zengxian Sun, Yu Liu, Bing‐Xin Xiao, Chenjun Bai and Hongmei Ding. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, International Journal of Biological Sciences, Oncogene and Journal of Leukocyte Biology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.